Triple

T9643315
Position Surface form Disambiguated ID Type / Status
Subject SK hynix E233128 entity
Predicate foundedBy P104 FINISHED
Object Hyundai Group E605529 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hyundai Group | Statement: [SK hynix, foundedBy, Hyundai Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyundai Group
Context triple: [SK hynix, foundedBy, Hyundai Group]
  • A. Hyundai Motor Group
    Hyundai Motor Group is a South Korean multinational conglomerate primarily known for its global automotive operations, including the Hyundai and Kia brands, along with various affiliated mobility and manufacturing businesses.
  • B. Hyundai Group (historically) chosen
    Hyundai Group (historically) was a major South Korean chaebol conglomerate with diversified interests spanning construction, shipbuilding, automotive, and heavy industries.
  • C. Hyundai Motor Company
    Hyundai Motor Company is a leading South Korean automotive manufacturer known globally for producing a wide range of affordable and reliable vehicles.
  • D. LG Group
    LG Group is a major South Korean multinational conglomerate known for its electronics, chemicals, and telecommunications businesses.
  • E. Kia Motors
    Kia Motors is a South Korean automobile manufacturer known for producing a wide range of affordable cars and SUVs for global markets.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b7cda388190a38f96d78085f404 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18252c1cc81908d33c9c55d645fbf completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:12 p.m.